Update app.py

app.py

@@ -161,19 +161,19 @@ def infer(cond_in, image_in, prompt, inference_steps, guidance_scale, control_mo
     if cond_in is None:
         if image_in is not None:
             image_in = resize_img(load_image(image_in))
-            if control_mode == "캐니":
+            if control_mode == "Canny":
                 control_image = extract_canny(image_in)
-            elif control_mode == "깊이":
+            elif control_mode == "Depth":
                 control_image = extract_depth(image_in)
-            elif control_mode == "오픈포즈":
+            elif control_mode == "OpenPose":
                 control_image = extract_openpose(image_in)
-            elif control_mode == "블러":
+            elif control_mode == "Blur":
                 control_image = apply_gaussian_blur(image_in)
-            elif control_mode == "저품질":
+            elif control_mode == "LowQuality":
                 control_image = add_gaussian_noise(image_in)
-            elif control_mode == "그레이스케일":
+            elif control_mode == "Grayscale":
                 control_image = convert_to_grayscale(image_in)
-            elif control_mode == "타일":
+            elif control_mode == "Tile":
                 control_image = tile(image_in)
     else:
         control_image = resize_img(load_image(cond_in))
@@ -212,19 +212,21 @@ with gr.Blocks(theme="Yntec/HaleyCH_Theme_Orange", css=css) as demo:
                 with gr.Column():
                     
                     with gr.Row(equal_height=True):
-                        cond_in = gr.Image(label="처리된 컨트롤 이미지 업로드", sources=["upload"], type="filepath")
-                        image_in = gr.Image(label="참조 이미지에서 조건 추출 (선택사항)", sources=["upload"], type="filepath")
+                        cond_in = gr.Image(label="Upload Processed Control Image", sources=["upload"], type="filepath")
+                        image_in = gr.Image(label="Extract Condition from Reference Image (Optional)", sources=["upload"], type="filepath")
                     
-                    prompt = gr.Textbox(label="프롬프트", value="최고 품질")
+                    prompt = gr.Textbox(label="Prompt", value="Highest Quality")
                     
-                    with gr.Accordion("컨트롤넷"):
+                    with gr.Accordion("ControlNet"):
                         control_mode = gr.Radio(
-                            ["캐니", "깊이", "오픈포즈", "그레이스케일", "블러", "타일", "저품질"], label="모드", value="그레이스케일",
-                            info="컨트롤 모드 선택, 모든 이미지에 적용됩니다"
+                            ["Canny", "Depth", "OpenPose", "Grayscale", "Blur", "Tile", "LowQuality"], 
+                            label="Mode", 
+                            value="Grayscale",
+                            info="Select control mode, applies to all images"
                         )
                         
                         control_strength = gr.Slider(
-                            label="컨트롤 강도",
+                            label="Control Strength",
                             minimum=0,
                             maximum=1.0,
                             step=0.05,
@@ -232,25 +234,25 @@ with gr.Blocks(theme="Yntec/HaleyCH_Theme_Orange", css=css) as demo:
                         )
                     
                     seed = gr.Slider(
-                        label="시드",
+                        label="Seed",
                         minimum=0,
                         maximum=MAX_SEED,
                         step=1,
                         value=42,
                     )
-                    randomize_seed = gr.Checkbox(label="시드 무작위화", value=True)
+                    randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
                     
-                    with gr.Accordion("고급 설정", open=False):
+                    with gr.Accordion("Advanced Settings", open=False):
                         with gr.Column():
                             with gr.Row():
-                                inference_steps = gr.Slider(label="추론 단계", minimum=1, maximum=50, step=1, value=24)
-                                guidance_scale = gr.Slider(label="가이던스 스케일", minimum=1.0, maximum=10.0, step=0.1, value=3.5)
+                                inference_steps = gr.Slider(label="Inference Steps", minimum=1, maximum=50, step=1, value=24)
+                                guidance_scale = gr.Slider(label="Guidance Scale", minimum=1.0, maximum=10.0, step=0.1, value=3.5)
                     
-                    submit_btn = gr.Button("제출")
+                    submit_btn = gr.Button("Submit")
                     
                 with gr.Column():
-                    result = gr.Image(label="결과")
-                    processed_cond = gr.Image(label="전처리된 조건")
+                    result = gr.Image(label="Result")
+                    processed_cond = gr.Image(label="Preprocessed Condition")
 
     submit_btn.click(
         fn=randomize_seed_fn,